Triple

T628923
Position Surface form Disambiguated ID Type / Status
Subject Battle of Kunersdorf E15881 entity
Predicate terrainFeature P5378 FINISHED
Object Judenberg heights E80390 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Judenberg heights | Statement: [Battle of Kunersdorf, terrainFeature, Judenberg heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judenberg heights
Context triple: [Battle of Kunersdorf, terrainFeature, Judenberg heights]
  • A. Mühlberg hill chosen
    Mühlberg hill is a strategically significant elevation near Kunersdorf in present-day Poland, known for its crucial role in the 1759 Battle of Kunersdorf during the Seven Years' War.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Konradshöhe
    Konradshöhe is a leafy, riverside locality in the northwest of Berlin known for its tranquil, village-like character within the borough of Reinickendorf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e5b5a308190a62165f9275e2f5f completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c38d2ee88190b577ca56b84e851e completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:35 p.m.